Use of Covariance Matrices in a Consistent (Multiscale) Data Assimilation for Improvement of Basic Nuclear Parameters in Nuclear Reactor Applications: from Meters to Femtometers

Palmiotti, G.; Hiruta, Hikaru; Salvatores, M.; Herman, M.; Obložinský, P.; Pigni, Marco T.

doi:10.3938/jkps.59.1123

Cited by 10 publications

(4 citation statements)

References 3 publications

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“…Various attempts were made in the past (see Refs. [18][19][20][21][22]) both in the resonance range and the higher energy range.…”

Section: B Integral and Microscopic Experiments Used For Nuclear Datmentioning

confidence: 99%

Evaluation of Cross Section Uncertainties Using Physical Constraints: Focus on Integral Experiments

Jean

Archier

Privas

et al. 2015

Nuclear Data Sheets

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“…Various attempts were made in the past (see Refs. [18][19][20][21][22]) both in the resonance range and the higher energy range.…”

Section: B Integral and Microscopic Experiments Used For Nuclear Datmentioning

confidence: 99%

Evaluation of Cross Section Uncertainties Using Physical Constraints: Focus on Integral Experiments

Jean

Archier

Privas

et al. 2015

Nuclear Data Sheets

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“…Exploratory studies performed in Ref. [18] indicate both the potential of the method and issues still to be solved.…”

Section: Adjustments: Multigroup Continuous Energy or Model Parameters?mentioning

confidence: 99%

Method and approaches to provide feedback from nuclear and covariance data adjustment for improvement of nuclear data files: Major findings of the NEA WPEC Subgroup 39

Salvatores¹,

Palmiotti²

2020

EPJ Web Conf.

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Nuclear data adjustments using integral experiments play since several decades a crucial role in providing reactor designers and fuel cycle analysts with nuclear data with reduced and validated uncertainties in order to allow design optimization while meeting safety and economics requirements. Adjustment methods, choice of integral experiments and covariance data assessment should be carefully defined in order to produce credible and physically acceptable adjustments, applicable to a wide range of systems. The OECD-NEA has established a series of Expert Groups since 2005 to investigate the key scientific issues and to provide recommendations for applications. The present paper discusses the major results of the most recent of these Expert Groups together with an indication of the path forward .

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“…A new approach [43] has been developed in order to adjust physical parameters and not multigroup nuclear data, the objective being now to correlate the uncertainties of some basic parameters that characterize the neutron crosssection description, to the discrepancy between calculation and experimental value for a large number of clean, highaccuracy integral experiments.…”

Section: A More Recent Example Of Data Assimilationmentioning

confidence: 99%

Developments in Sensitivity Methodologies and the Validation of Reactor Physics Calculations

Palmiotti

Salvatores

2012

Science and Technology of Nuclear Installations

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The sensitivity methodologies have been a remarkable story when adopted in the reactor physics field. Sensitivity coefficients can be used for different objectives like uncertainty estimates, design optimization, determination of target accuracy requirements, adjustment of input parameters, and evaluations of the representativity of an experiment with respect to a reference design configuration. A review of the methods used is provided, and several examples illustrate the success of the methodology in reactor physics. A new application as the improvement of nuclear basic parameters using integral experiments is also described.

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Use of Covariance Matrices in a Consistent (Multiscale) Data Assimilation for Improvement of Basic Nuclear Parameters in Nuclear Reactor Applications: from Meters to Femtometers

Cited by 10 publications

References 3 publications

Evaluation of Cross Section Uncertainties Using Physical Constraints: Focus on Integral Experiments

Evaluation of Cross Section Uncertainties Using Physical Constraints: Focus on Integral Experiments

Method and approaches to provide feedback from nuclear and covariance data adjustment for improvement of nuclear data files: Major findings of the NEA WPEC Subgroup 39

Developments in Sensitivity Methodologies and the Validation of Reactor Physics Calculations

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